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LIS650 lecture 5 Thomas Krichel 2004-03-05 today • A look at your web sites • Fun with selectors • Boredom with Information Architecture basic selector • the basic selector is a comma-separated list of elementary selectors. • Often, the elementary selectors are HTML tags, e.g. h1, h2 {text-align: center} will center all <h1> and <h2> tag contents • but the selectors can be more precise class selectors • This is the standard way to style up a class .class { property1: value1, property2: value2 …} will give all the properties and values to any tag in the class class. • Recall HTML, when you have set the you can apply the class <tag class="class"> will apply all the attributes of the class class to the tag tag. Note that you can place any tag into several classes, use blanks to separate the class names fun with selectors • * selects any tag. • E selects any tag called E • E F selects any F tag that is in the contents of an E tag, as a child, grand-child etc • E > F selects any F tag that is a child of an E tag. This is more restrictive. • E:first-child selects E when E is the first child of its enclosing tag • E:link selects an E tag if it is in the contents of an <a> tag more selectors • E:visited select tag E if E if it is in the contents of a link and the link has been visited. • E:active, E:hover, E:focus selects tag E during certain user actions with the mouse. • E:lang(c) selects tag E if it is in the human language c • E + F selects any F tag immediately preceded by an E tag start. more selectors • E[a] selects any E tag with an attribute "a", whatever the value • E[a="v"] select any E tag whose "a" attribute value is exactly equal to "v". • E[a~="v"] selects any tag E whose "a" attribute value is a list of space-separated values, one of which is exactly equal to "v". Useful for classes, because you can put a tag into several classes, separated by blanks… more selectors • E[lang|="en"] selects any E tag whose "lang" attribute has a hyphen-separated list of values beginning (from the left) with "en". • E.m convenient shorthand for E[class~="m"] • E#myid convenient shorthand for E[id="myid"] • E:first-letter selects the first letter in the content of tag E • E:first-word selects the first word in the contents of tag E :before and :after • :before or :after can be used to add contents before or after a tag. • We will deal with this next week, but mention it here for completeness. examples • H1, H2, H3 { font-family: sans-serif } • H1 { color: red } EM { color: red } H1 EM { color: blue } • DIV * P • DIV P *[href] • BODY > P { line-height: 1.3 } • DIV OL>LI P more example • • • • • • H1 + P {text-indent: 0} H1 + H2 {margin-top: -5mm} H1.opener + H2 {margin-top: -5mm} H1[title] {color: blue} SPAN[class=example] {color: blue } SPAN[hello="Cleveland"][goodbye="Columbus"] { color: blue} • A[rel~="copyright"] {color: red} • A[href="http://www.w3.org/"] {background-color: grey} • *[LANG=fr] {display: none} more examples • *[LANG|="en"] {color : red } • .dialog.romeo {voice-family: "Lawrence Olivier", charles, male} • A:link {color: red} /* unvisited links */ • A:visited {color: blue} /* visited links */ • A:hover {color: yellow} /* user hovers */ • A:active {color: lime} /* active links */ • A.external:visited {color: blue} more examples • • • • HTML:lang(fr) { quotes: '« ' ' »' } HTML:lang(de) { quotes: '„' ‘”'} *:lang(fr) > Q { quotes: '« ' ' »' } *:lang(de) > Q { quotes: '„' ‘”'} (quotation style depending on the surrounding language, not the language of the quote!) more examples • • • • • • A[rel~="copyright"] A[href="http://openlib.org/home/krichel"] DIV > P:first-child A:focus:hover P>*>A div[class~="ny"][id="albany"] Example: drop caps with uppercase • CSS P { font-size: 12pt; line-height: 12pt } P:first-letter { font-size: 200%; font-style: italic; fontweight: bold; float: left } SPAN { text-transform: uppercase } • HTML <P><SPAN>The first</SPAN> few words of an article in The Economist.</P> Reading • ``Information Architecture'' by Louis Rosenfeld and Peter Morville, O'Reilly 1998 • There is now a second edition, hopefully it is better • Contents is very thin, I summarize the whole book here. Sensitivity exercise • What do you hate about a web site? • What do you like about a web site? • All issues to do with that fall into three categories – Technical – Look and Feel – Architecture Reasons to hate a web site • • • • • • • Can't find it. Page crowded Loud colours Gratuitous use of technology Inappropriate tone Designer centered Lack of attention to detail Reasons to like a web site • • • • • useful attractive to look at thought provoking findabilty personalisation Why is it so difficult • technical expertise • graphical design expertise • overall structure IA determines • organization • content • functionality – navigation – labeling – searching Good IA is important for the producer • web site an important point of first contact • needs to determine overall design before the site is built • reorganizing a site is – costly – difficult Topics covered • • • • Classification navigation labelling making a site searchable The challenge of classification • ambiguity: ``a tomato is a red or yellowish fruit with a juicy pulp, used as a vegetable, botanically it is a berry.'' • heterogeneity – in a library – on a web site • granularity • format • difference in perspective • internal politics Organizational schemes • Exact schemes – alphabetical – chronological – geographical • ambiguous schemes – topical: should be there, but not the only scheme – task-oriented – audience-specific: open or closed • metaphor-driven: not as overall organization • Hybrid schemes are not good The mixed-up library • • • • • • • • adult arts and humanities community center get a library card learn about our library science teen youth Organizational form: hierarchies • • • • • keep balance between breadth and depth obey 7 +-2 rule horizontally, no more than 5 levels vertically cross-link ambiguous items if really necessary keep new sites shallow organizational forms: hypertext • great flexibility • great potential for confusion • not good as a prime organizational structure organizational forms: database • • • • powerful for searching useful if there is controlled vocabulary easy reorganization on the fly or static generation of pages – but ensure robot indexing • not good for heterogenous data Navigation aids • • • • provide context allow for flexibility of movement support associative learning danger of overwhelming the user browser navigation aids • They include – – – – – – – open back forward history bookmarks prospective view visited url color • sites should not corrupt the browser. navigation • the ``you are here'' mark – – – – pages should indicate site name navigation should be consistent navigation not to refer to current pages highlight current page in a different way • allow for lateral navigation Types of navigational systems • global hierarchical navigation systems – text – icon • local navigation systems: integration with global system can be challenging • ad hoc navigation: clear label are required Frames are problematic • • • • potential waste of pages real estate speed of display disrupt the page model complex design remote navigation system I • table of contents – – – – good in a hierarchical web site reinforce the hierarchy facilitate known-item access resist temptation to overwhelm user • indexes – – – – presents key term without hierarchy key terms found from search behavior links terms to final destination pages use term rotation remote navigation systems II • site maps – – – – – is a graphical representationof the site's contents new because no equivalent in print there are automated tools to generate site maps seldomly well-done to be kept simple • guided tours – important for sites with restricted access – should feature linear navigation labelling • a label is short expression that represents a larger set of information. • example: ``contact us'' • labelling is an outgrowth of site organization, that we have discussed previously. • labelling communicates the organization of the site Why bother • we need to guess at how users respond to a label • users will not spend much time interpreting the label • appropriate tone, no ``hot'', cool'', `stuff'' • should reflect thinking of the user, not of the owner • it is easy to have unplanned labelling Good labelling • Sticking with the familiar – – – – – – main, main page, home, home page search, find browse contact, contact us, feedback Help, FAQ, Frequently Asked Questions About, About Us • Labels may be augmented with scope notes Grammatical consistency • contact us, search our site, browse our content • contact, search, browse • contact information, search page, table of contents • (also good in student essays) Labels as indexing terms • use in <meta>tags, or in <title> tag • use as controlled vocabulary in the database • but some search, in fact almost all, engines do not use metadata Textual labels born in Vöklingen, (Saarland) in 1965, I studied Economics and Social Sciences at the universities of Toulouse, Paris, Exeter and Leicester. Between Febrary 1993 and April 2001 I lectured in the Department of Economics at the University of Surrey. In 1993 I founded NetEc, a consortium of Internet projects for academic economists. In 1997, I founded the RePEc dataset to document Economics. Between October and December 2000, I held a visiting professorship at Hitotsubashi University. labels as headings • good practice: – consistency in terminology: wording on labels is uniform and cohesive – consistency in granularity • chunks covered by labels at the same level is roughly equal • chunks covered do not vary by their depth Iconic labels • There is only a limited ``vocabulary'' of commonly understood labels • it is fine for some key concepts • labels need to be very consistently placed • they can communicate a graphic identity for the page • they are easy to find on a page, provided that page is not long Designing labelling systems I • start from existing one – put in table or tree (on paper) – make small changes towards consistency • ``benevolent plagiarism'' from competitors and academic sites • use controlled vocabularies, example yellow pages Designing labeling systems II • use a thesaurus, example legislative indexing vocabulary – – – – ``see'' link ``see also'' links broader terms narrower terms • labels from contents: best judged by an outsider • • • labels from query logs labels from user interviews labels from modeling user needs fine tuning a labelling system • • • • • • • • • remove duplicates sort alphabetically homogenize case and punctuation and grammar remove synonyms according to audience make labels as different from one another as possible search for gaps look into the future keep scope focussed consider granularity why not make a site searchable • • • • not a tool to satisfy all user's needs not good on poor contents not a cure for bad browsing! needs good planning why make a site searchable • cope with bad organization (Foyle's) • dynamic contents • large contents user needs • • • • some want overview, others want detail some need accuracy, others don‘t care much some can wait, others need it now some need some info, others need a comprehensive answer user's searching expectation • • • • known-item searching existence searching exploratory searching comprehensive searching integrated searching and browsing • literature deals with separate browsing and searching systems • browsing and searching in a single system • with multiple iteration • and associative learning takes place designing search interfaces I • level of expertise – boolean? – concept search? • amount returned – comprehensive? – verbose? • how much to make searchable designing search interfaces II • search target – navigation pages? – HTML only? • are there specific types of data that users will want multi-lingual? • audience difference • • • • features of sophisticated search engines fielded searches sophisticated query languages reusable results set customizable relevance Deal with problems • getting too much: suggest boolean AND • getting nothing: suggest boolean OR or truncation • bad answers: suggest to contact an expert, may be not... The Semantic Web • The combination of Web Services and the Semantic Web should give the Web the ability to turn any existing Web Resource into a full node in a purposefully built knowledge representation system with a functional component that allows that knowledge to be acted on. • And both are based on the simple Uniform Resource Identifier. example • This statement says that the Resource identified by the URI ‘http://openlib.org/home/krichel’ was created by the person ‘Thomas Krichel’: <?xml version="1.0"?> <RDF xmlns="http://www.w3.org/1999/02/22rdf-syntax-ns#"> <Description about="http://openlib.org/home/krichel"> <Creator xmlns="http://description.org/schema/">Ora Lassila</Creator> </Description> </RDF> http://openlib.org/home/krichel Thank you for your attention!